资源列表
k-means
- k-means算法，大家可以试试先，有什么好东东大家一起分享
tsp_ga
- 旅行商的遗传算法 包括次序交叉和部分映射交叉，插入变异和交换变异-Genetic algorithms include traveling salesman and part of the order of cross-mapped crossover, mutation and exchange mutation into the
matlab_svm_facerecongnition
- 先用“gettrainingdata”获取人脸样本库的特征，样本库中每人只有一个样本。 然后用“facerecognition\"输入待识别的人脸，可以较准确的得出结果！-first "gettrainingdata" Access to face the sample characteristics, Each sample repository is only a sample. Then "facerecognition" to the impo
baoluo
- 声音文件进行包络频谱的绘制，对文件进行时域和频域的分析和画图-Sound files for drawing of envelope spectrum, the file in time domain and frequency domain analysis and drawing
IMMU50NO.C
- 用遗传算法解决多目标车间调度问题,此算法是经典算法.
pso2012-04-03
- 粒子群算法的matlab实现，包含主文件pso.m和例子程序psodemo.m和psodemo2.m等，每个文件都有详细的注释说明。-Particle Swarm algorithm matlab realize, contains the the master file pso.m and example program psodemo.m and psodemo2.m etc., each file has detailed notes.
遗传算法c源程序
- 这个程序是关于遗传算法c源程序，可以通过这个源程序明白什么是遗传算法-on genetic algorithm c source, the source can understand what genetic algorithms
hybrid_PSO
- 一种基于混合策略的改进粒子群优化算法，包括执行程序hpso.m和参数设定hPSOoptions.m两个源文件。代码清晰，易于改进实现。结果显示有效的提高-Hybrid strategy based on improved particle swarm optimization, including the implementation of the program and parameter set hPSOoptions.m hpso.m two source files. Code is c
common-Neural-Network-codes
- 几种常见的神经网络的matlab实现，包括BP网络，RBF网络，MLP网络，线性网络。-Several common neural network matlab implementation, including the BP network, RBF network, the MLP networks, linear networks.
BPNN
- 用BP神经网络实现模糊控制规则为T=int[(e +ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network tra
matlab
- matlab函数，用于主成分分析转换后数据进行BP网络仿真-matlab function for the conversion of the principal component analysis data of BP neural network simulation
bGWO
- 这个文件夹包含实现二进制灰太狼优化器，以包装模式进行特征选择。 -This folder contains implementation for the binary grey wolf optimizer applied for feature selection in wrapper mode.